Summarize the accuracy of SSM confidence intervals
Source:R/ssm_ci_oop.R
summary.circumplex_ci_accuracy.RdPrint the full report of an ssm_ci_accuracy() run: the assessed
configuration, a structure note describing the simulated population (with
cautions when the structural model converged badly or fits poorly –
benchmarks per Browne & Cudeck, 1993, and Hu & Bentler, 1999), the
per-profile verdict blocks (coverage of elevation, amplitude, and
certification-conditional displacement classified against Bradley's
liberal band; the guardrail false-certification caution), and a compact
table with one row per profile and amplitude condition. That table shows the
coverage of each parameter, the displacement coverage when certified, the
certification rate and the Structural flag. On a contrast row, "certified"
means that both profiles were certified. The Monte Carlo standard errors, the
one-sided miss rates, the interval widths, the conditional and replication
counts, and the other guardrail columns are not printed; read them from the
coverage and guardrail elements of the object.
Usage
# S3 method for class 'circumplex_ci_accuracy'
summary(object, digits = 3, ...)Arguments
- object
A
circumplex_ci_accuracyobject fromssm_ci_accuracy().- digits
Number of digits to which table entries are rounded (default = 3).
- ...
Currently ignored.
References
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Sage.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.